Publication Details
Abstract
The contemporary paradigm of global industrial growth is rapidly transitioning towards digital transformation and the integration of "green economy" principles, which fundamentally redefines the parameters of enterprise productivity. However, this shift often exposes a severe "technological metabolism gap" within industrial enterprises, characterized by the discrepancy between the rapid adoption of high-tech digital equipment and the relatively slower adaptation of local human capital. This article investigates new effective directions for increasing the productivity of industrial enterprises, with a specific focus on the cotton-textile clusters in the Kashkadarya region of Uzbekistan. Utilizing Fixed Effects econometric modeling, panel data analysis, and cybernetic profiling matrices, the research quantitatively assesses capacity utilization, production growth, and value-chain optimization. The findings reveal that domestic cotton-textile clusters have significantly expanded their share in the Gross Regional Product (GRP), transitioning from raw material export to full domestic processing. Comparative analyses with international benchmarks further underscore the necessity for advanced human capital development, venture financing, and the implementation of Lean production methodologies to achieve sustainable competitive advantages in the global market.